Article
Publicly Available
Frontmatter
Published/Copyright:
May 26, 2014
Published Online: 2014-5-26
Published in Print: 2014-6-1
©2014 by Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Statistical inference of regulatory networks for circadian regulation
- A Bayesian clustering approach for detecting gene-gene interactions in high-dimensional genotype data
- A novel characterization of the generalized family wise error rate using empirical null distributions
- Applying shrinkage variance estimators to the TOST test in high dimensional settings
- A boosting approach for adapting the sparsity of risk prediction signatures based on different molecular levels
- Using the theory of added-variable plot for linear mixed models to decompose genetic effects in family data
- Efficient parametric inference for stochastic biological systems with measured variability
Articles in the same Issue
- Frontmatter
- Statistical inference of regulatory networks for circadian regulation
- A Bayesian clustering approach for detecting gene-gene interactions in high-dimensional genotype data
- A novel characterization of the generalized family wise error rate using empirical null distributions
- Applying shrinkage variance estimators to the TOST test in high dimensional settings
- A boosting approach for adapting the sparsity of risk prediction signatures based on different molecular levels
- Using the theory of added-variable plot for linear mixed models to decompose genetic effects in family data
- Efficient parametric inference for stochastic biological systems with measured variability
